In MatPlotTheme, theming MatPlotLib figures is controlled by style and palette, which defines how elements are customized and which colors are used, respectively. As MatPlotTheme provides multiple styles/palettes (at least that is what I am working on), using the library is as simple as picking a style-palette combination and plot. What’s more, MatPlotTheme inherits MatPlotLib’s API configuration, which means existing code can be migrated with minimal effort.

Examples

Documentation

Usage

MatPlotTheme provides a default Style and a default Palette. Each of them are python classes and all other styles/palettes are derived classes of them. matplottheme provides interfaces to all plotting methods in Style, which enable library usage like matplottheme.plot(ax, x, y).

# Use API provided by matplottheme moduleimportmatplotthemeasmptimportmatplotlib.pylabaspltimportnumpyasnpx=np.arange(1000)y=np.random.normal(size=1000).cumsum()fig=plt.figure()ax=fig.add_subplot(111)# MatPlotTheme plots a line using ggplot2 style/palettempt.set_theme('ggplot2','ggplot2')mpt.plot(ax,x,y)

Dependency

MatPlotLib. pip install matplotlib is the most simple installation method.

License

The MIT License (MIT)

Copyright (c) 2014 James Yu

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